{"id":1421,"date":"2023-06-06T21:26:23","date_gmt":"2023-06-06T21:26:23","guid":{"rendered":"https:\/\/dailyai.com\/?p=1421"},"modified":"2023-06-06T23:02:27","modified_gmt":"2023-06-06T23:02:27","slug":"the-ai-industry-should-learn-from-nuclear-safety-argue-researchers","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2023\/06\/the-ai-industry-should-learn-from-nuclear-safety-argue-researchers\/","title":{"rendered":"AI-bransjen b\u00f8r l\u00e6re av atomsikkerhet, mener eksperter"},"content":{"rendered":"

Utviklingen av kunstig intelligens har g\u00e5tt raskt, noe som betyr at reguleringen m\u00e5 ta igjen forspranget, og at styringen har kommet litt i bakgrunnen. <\/b><\/p>\n

Det finnes f\u00e5 formelle prosesser for \u00e5 sikre KI-sikkerhet, og forskerne mener at det er opp til bransjen \u00e5 endre p\u00e5 dette.<\/p>\n

Mange ledere og personer i bransjen har sammenlignet kunstig intelligens med kjernekraft. Det er mange likheter - <\/span>KI vokser raskt, den utgj\u00f8r en potensielt eksistensiell risiko, og den kompliseres av utenrikspolitiske forhold, denne gangen mellom de fremvoksende KI-supermaktene USA og Kina.<\/p>\n

Det tok flere ti\u00e5r f\u00f8r atomingeni\u00f8rene overbeviste det vitenskapelige milj\u00f8et om sikkerheten ved atomreaktorer. De f\u00f8rste reaktorene ble bygget p\u00e5 slutten av 40- og begynnelsen av 50-tallet, og det var f\u00f8rst med den amerikanske atomenergiloven av 1954 at det ble innf\u00f8rt en viss grad av regulering.\u00a0<\/span><\/p>\n

Amerikanske myndigheter var klar over risikoen ved kjernekraft, men Sovjetunionen satte sin f\u00f8rste sivile reaktor i drift i midten av 1954, s\u00e5 de kastet ikke bort tiden med \u00e5 bygge sin egen. I 1955 sa kommiss\u00e6r Willard F. Libby: \"V\u00e5r store fare er at denne store fordelen for menneskeheten vil bli drept i f\u00f8dselen av un\u00f8dvendige reguleringer.\"<\/span><\/p>\n

Er det noe her som h\u00f8res kjent ut? Det var bare i forrige m\u00e5ned at OpenAI-sjef Sam Altman oppfordret til \u00e5 opprette et internasjonalt organ<\/a> for AI-sikkerhet som Det internasjonale atomenergibyr\u00e5et (IAEA), som ble grunnlagt i 1957. I likhet med kjernekraft er g<\/span>nger over hele verden jobber med \u00e5 finne ut hvordan de kan bevare fordelene med kunstig intelligens og samtidig regulere risikoen.\u00a0<\/span><\/p>\n

IAEA var en selvstendig del av FN og har i dag 174 medlemsland. Etter 1957 var det relativt f\u00e5 atomkatastrofer frem til Tsjernobyl.<\/span><\/p>\n

AI b\u00f8r l\u00e6re av historien om atomsikkerhet<\/span><\/h2>\n

Heidy Khlaaf, teknisk direkt\u00f8r i cybersikkerhetskonsulentselskapet Spor av biter<\/a>, som brukes til \u00e5 vurdere og verifisere sikkerheten ved kjernekraftverk. <\/span>Hun fortalte nylig til MIT<\/span><\/a> at kjernekraftverk krever tusenvis av dokumenter som sertifiserer sikkerheten, og som g\u00e5r i dybden p\u00e5 de minste nyansene ved hver enkelt komponent.\u00a0<\/span><\/p>\n

Etter Tsjernobyl ble reguleringen av kjernekraft ekstremt streng. Planlegging, lisensiering og bygging av en atomreaktor kan ta ti \u00e5r eller mer, blant annet fordi prosessen overv\u00e5kes s\u00e5 strengt i alle ledd. Khlaaf p\u00e5peker at dette ikke har noe med profitt \u00e5 gj\u00f8re - atomsikkerhet er et resultat av en reell eksistensiell risiko.\u00a0<\/span><\/p>\n

AI-selskaper rapporterer derimot modellene sine ved hjelp av enkle \"kort\" som i hovedsak lister opp funksjoner.\u00a0<\/span><\/p>\n

I tillegg er modellens indre arbeid ofte en \"svart boks\", noe som betyr at beslutningsprosessene i stor grad er lukket for eksterne observat\u00f8rer.\u00a0<\/span><\/p>\n

Selv ChatGPT er, i motsetning til OpenAIs navnebror, en svart boks, og AI-selskaper har allerede etablert et rykte for \u00e5 v\u00e6re <\/span>hemmeligholdte om modellene og treningsdataene sine.<\/span><\/a>\u00a0<\/span><\/p>\n

Tenk deg at atomreaktorer var en \"svart boks\", og at utviklerne ikke ville fortelle offentligheten hvordan de fungerer?\u00a0<\/span><\/p>\n

Analyse av AI-risiko m\u00e5 v\u00e6re systematisk\u00a0<\/span><\/h2>\n

For \u00e5 redusere risikoen AI-ledere som Altman innr\u00f8mmer, m\u00e5 selskapene g\u00e5 dypere med sporbarhetsstrategiene sine. Dette inneb\u00e6rer streng overv\u00e5king helt fra starten av AI-utviklingsprosessen.\u00a0<\/span><\/p>\n

Khlaaf sier: \"Du m\u00e5 ha en systematisk m\u00e5te \u00e5 g\u00e5 gjennom risikoene p\u00e5. Det er ikke et scenario der du bare sier: \"\u00c5, dette kan skje. La meg bare skrive det ned.\"\u00a0<\/span><\/p>\n

Det finnes i dag ingen etablert prosess for risikovurdering av KI, men det har v\u00e6rt gjort noen fors\u00f8k p\u00e5 \u00e5 lage en.\u00a0<\/span><\/p>\n

For eksempel, <\/span>DeepMind publiserte nylig en teknisk blogg<\/span><\/a> i samarbeid med flere universiteter, og spesifiserer at modellene b\u00f8r evalueres for \"ekstrem risiko\" f\u00f8r oppl\u00e6ring. Artikkelen legger frem to strategier:<\/span><\/p>\n

    \n
  1. Evaluerer omfanget av en modells \"farlige evner\" som kan brukes til \u00e5 true sikkerheten, ut\u00f8ve innflytelse eller unndra seg menneskelig overv\u00e5king.<\/span><\/li>\n
  2. Vurdere hvor stor risiko det er for at en modell kan for\u00e5rsake skade, f.eks. om den risikerer \u00e5 ikke oppf\u00f8re seg som tiltenkt.\u00a0<\/span><\/li>\n<\/ol>\n

    Toby Shevlane, en av forskerne i prosjektet, sier: \"Ledende AI-selskaper som flytter grenser, har et ansvar for \u00e5 v\u00e6re oppmerksomme p\u00e5 nye problemer og oppdage dem tidlig, slik at vi kan ta tak i dem s\u00e5 raskt som mulig.\"<\/span><\/p>\n

    Hvis AI skal l\u00e6re av atomsikkerhet, er det avgj\u00f8rende med tidlig regulering, men langsiktig selvtilfredshet er d\u00f8delig. Ingen vet hvordan en AI-versjon av Tsjernobyl eller Fukushima ville sett ut, og ingen \u00f8nsker \u00e5 finne det ut. <\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Utviklingen av kunstig intelligens har g\u00e5tt raskt, noe som betyr at reguleringen m\u00e5 ta igjen forspranget, og at styringen er noe av en ettertanke. Det finnes f\u00e5 formelle prosesser for \u00e5 ivareta sikkerheten ved kunstig intelligens, og forskerne sier at det er opp til bransjen \u00e5 endre p\u00e5 dette. Mange AI-ledere og personer i bransjen har sammenlignet AI med kjernekraft. Det er mange likheter - AI vokser raskt, det utgj\u00f8r en potensielt eksistensiell risiko, og det kompliseres av utenrikspolitiske forhold, denne gangen mellom de fremvoksende AI-supermaktene USA og Kina. Det tok flere ti\u00e5r f\u00f8r atomingeni\u00f8rene overbeviste det vitenskapelige milj\u00f8et om sikkerheten ved atomreaktorer.<\/p>","protected":false},"author":2,"featured_media":1422,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[93,91,92],"class_list":["post-1421","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-openai","tag-policy","tag-regulation"],"yoast_head":"\nThe AI industry should learn from nuclear safety, argue experts | DailyAI<\/title>\n<meta name=\"description\" content=\"There are many parallels between AI and nuclear technology. 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